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Get Started in 4 Easy Steps
Self-Hosted: Quickly spin up the full stack locally or on your own infrastructure with our provided
docker-compose.ymlfile, which includes all service definitions and the latest container images.Serverless: A fully managed, preconfigured deployment with ultra-low latency and multi–availability zone support — no infrastructure setup required.
Marketplace: Enterprise-ready options available directly through the AWS Marketplace, with dedicated infrastructure, SLAs, and contract flexibility.
Choose Self-Hosted, Serverless or Marketplace version
1.
Add the Knowledge
Adding knowledge to the system is simple and secure - just upload your files, share them with your security group, and let the platform handle chunking, embedding, and indexing. With the built-in file manager, you can organize, trace, and manage everything in one place for a full-fledged enterprise knowledge hub.
2.
Define sources to anchor every AI-generated file to its source of truth, ensuring full traceability and context.
You can also enrich the graph by adding your own relationships with custom metadata, tailoring it to your organization’s needs.
Trusted Knowledge Graph
Create Agents
Easily create agents, assign subordinates, and provide them with custom functions. This builds a structured agentic execution graph, giving you full control to model and power autonomous decision-making across tasks and workflows.
3.
Register Python functions
Easily create and register Python functions so all your data processing happens in one place. Functions run inside a Celery worker, providing isolation and security, while your AI agents can securely access them to enable custom logic, business rules, and dynamic functionality directly within the platform.
4.
Postman MCP provides access to 8,000+ APIs and services, while tools run inside an isolated MCP server, ensuring secure execution. Your AI agents can leverage these tools to implement custom logic, enforce business rules, and enable dynamic functionality directly through the Model Context Protocol.
Or register MCP tools
The GenAI Platform is Ready to Be Used
All communications with your AI are stored and updated in real-time. You can review every dialogue, open each message, and inspect reasoning, function call arguments, and responses — giving full transparency into AI decision-making and actions.
Chat with AI
Create and manage deterministic workflows effortlessly using our intuitive UI with Gantt-chart visualization. Each step can be opened to inspect all inputs, outputs, and logs, giving you complete transparency and control over the execution of your processes.
